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Blair Hu, a graduate student researcher at the Center for Bionic Medicine, successfully defended his PhD thesis on October 17. Blair's thesis, “Applying Sensor Fusion and Deep Learning to Discover Robust Representations of Movement Intention for Powered Leg Prostheses,” describes new techniques to integrate human movement data to improve the control of powered lower-limb assistive devices. Congratulations, Dr. Hu!
Related Publications
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Hu, Blair, Elliott Rouse, and Levi Hargrove. “Fusion of bilateral lower-limb neuromechanical signals improves prediction of locomotor activities.” Frontiers in Robotics and AI 5 (2018): 78.
Hu, Blair, Elliott Rouse, and Levi Hargrove. “Benchmark datasets for bilateral lower-limb neuromechanical signals from wearable sensors during unassisted locomotion in able-bodied individuals.” Frontiers in Robotics and AI 5 (2018): 14.
Hu, Blair H., Nili E. Krausz, and Levi J. Hargrove. “A novel method for bilateral gait segmentation using a single thigh-mounted depth sensor and IMU.” 2018 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob). IEEE, 2018.
Hu, Blair H., Elliott J. Rouse, and Levi J. Hargrove. “Using bilateral lower limb kinematic and myoelectric signals to predict locomotor activities: A pilot study.” 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2017.